In this study, we report the microstructural evolution and shear strength of an Sn-Sb alloy, used for die attach process as a solder layer of backside metal (BSM). The Sb content in the binary system was less than 1 at%. A chip with the Sn-Sb BSM was attached to a Ag plated Cu lead frame. The microstructure evolution was investigated after die bonding at 330 °C, die bonding and isothermal heat treatment at 330 °C for 5 min and wire bonding at 260 °C, respectively. At the interface between the chip and lead frame, Ni3Sn4 and Ag3Sn intermetallic compounds (IMCs) layers and pure Sn regions were confirmed after die bonding. When the isothermal heat treatment is conducted, pure Sn regions disappear at the interface because the Sn is consumed to form Ni3Sn4 and Ag3Sn IMCs. After the wire bonding process, the interface is composed of Ni3Sn4, Ag3Sn and (Ag,Cu)3Sn IMCs. The Sn-Sb BSM had a high maximum shear strength of 78.2 MPa, which is higher than the required specification of 6.2 MPa. In addition, it showed good wetting flow.

The off-site dose calculation is regularly carried out at the nuclear power plants in order to evaluate off-site dose from gaseous and liquid effluent during normal operation. In 2009, the off-site calculation program (K-DOSE60) was developed in accordance with ICRP-60 by KHNP. This software needs meteorological data, gaseous and liquid effluent data, and various other input parameters to evaluate off-site dose. As a result, it takes a certain amount of time for the user to enter accurate input data and verify calculated results, and it is difficult to intuitively determine them because of providing textbased calculated results. Therefore, in this study, the improvement of the calculation program was considered so that a more reliable and effective evaluation could be performed when calculating the off-site dose. The main improvements of the off-site dose calculation program (ODCP) are as follows. First, it is developed as the network-based program to link with meteorological data, and gaseous and liquid effluent data to remove input errors and simplify data transfer. Second, through validation process of input data, input errors are eliminated. Third, the input data and calculated results are visually provided so that the user can easily determine the evaluation results. Fourth, database of input and calculated results is constructed to facilitate evaluation result history management.

목적 : 본 연구의 목적은 활동분석과 프로세스 맵핑을 기반으로 한 Korean version of Modified Barthel Index(K-MBI) 가이드북을 제작하여 내용 타당도와 평가자 간 신뢰도 및 일치도를 확인하고자 하였다. 연구방법 : 본 연구에서는 활동분석과 프로세스 맵핑을 기반으로 한 K-MBI 가이드북을 개발하였다. 개발 된 K-MBI 가이드북에 대한 이해도 조사 및 수정을 하여 최종 가이드북을 제작하여 40명의 작업치료 전문가 집단에 내용 타당도를 검증하였다. 평가자 간 신뢰도 및 일치도 조사를 위해 기존의 K-MBI 검 사 지침에 근거하여 총 5명의 환자의 일상생활활동 동영상을 촬영하였다. 평가자 간 신뢰도와 일치도 조 사는 84명의 작업치료사가 교육 전과 후에 동일하게 동영상 속의 5명의 환자를 평가하여 확인하였다. 결과 : 내용 타당도 검증 결과는 개발된 K-MBI 가이드북 11개의 모든 항목에서 CVI 점수가 .93 이상으 로 높은 수준의 타당도를 나타내었다. 평가자 간 신뢰도에서는 ICC가 교육 전 .983, 교육 후에 .982로 교육 전과 후 모두 높은 수준의 신뢰도를 보였다. 정답률의 변화는 교육 전 48.37%에서 교육 후에 69.48%로 향상되었고, 평가자 간 일치도는 옷 입고 벗기 항목을 제외한 모든 항목에서 일치도가 향상 된 것으로 나타났다. 결론 : 본 연구의 결과를 통해 활동분석 및 프로세스 맵핑을 기반으로 한 K-MBI 가이드북은 일상생활활 동 평가에서 평가자 간의 신뢰도와 일치도를 향상되게 시키는 것으로 확인되었다.

When developing a product, ensuring the quality and reliability is essential. Reliability process is always underestimated compared to its importance, especially in the field of domestic medical devices. In this paper, reliability process developed for near-infrared solid microscope, based on a variety of existing practices and other product process. The following findings were obtained as research progressed. First, learning about the medical equipment needed to assure the quality and reliability standards. Second, reliability process established to design a product in the field of medical devices

Ensure the quality and reliability of the developing product should be considered essential. Reliability process is lacking compared to its importance, especially in the field of domestic medical devices. In this paper is Reliability process formulation ofnear-infrared solid microscope for ophthalmic surgery, based on a variety of existing practices and other product process to ensure product reliability, reliability process was established.Together domestic and international standards were investigated that essential in order to maintain a high level of reliability and quality. In this paper, the following findings were obtained. First, learned about the medical equipment needed to ensure quality and reliability standards. Second, reliability ensure process design and formulation were studied.

신제품 개발에 있어서 제품의 잠재적 고장모드를 줄이기 위한 설계 노력은 매우 중요하며 이를 위해서는 체계적이고 혁신적인 신뢰성프로그램을 적용하는 것이 반드시 필요하다. 기업에서 동시공학을 기초로 한 건전한 신뢰성프로그램에 포함된 주요활동으로는 DFR(Design for Reliability), 신뢰성검증 및 물리적 해석활동 등이 있으며, 이 중 DFR은 제품 개발을 지원하는 첫 번째 과학적 신뢰성활동이다. 본 연구는 브레이크패드의 신뢰성을 향상시키기 위

Visibility of the flow of goods is an important service element when considering how to improve the quality of a logistics service. Registered mail service of Korea Post, one of logistics service providers, currently supply information on the handling of

Recently, product-reliability and process-reliability in product development processes has been regarded as an important issue in many manufacturers. TRIZ which is theory for inventive solving is required to obtain reliability of each process. To solve the technological problems, TRIZ provides problems can be occurred in product development processes as a contradiction matrix based on 40 creative invention principles with alternatives for physical and technological contradiction. This paper suggests the method for inventive solving to ensure the reliability assurance of product development processes based on TRIZ.

The condition of the manufacturing process in a factory should be diagnosed and maintained efficiently because any unexpected disorder in the process will be reason to decrease the efficiency of the overall system. However, if an expert experienced in this system leaves, there will be a problem for the efficient process diagnosis and maintenance, because disorder diagnosis within the process is normally dependent on the expert's experience. This paper suggests a process diagnosis using data mining based on the collected data from the coil-spring manufacturing process. The rules are generated for the relations between the attributes of the process and the output class of the product using a decision tree after selecting the effective attributes. Using the generated rules from decision tree, the condition of the current process is diagnosed and the possible maintenance actions are identified to correct any abnormal condition. Then, the appropriate maintenance action is recommended using the decision network.